Biomedical Image Registration: 9th International Workshop, WBIR 2020, Portorož, Slovenia, December 1–2, 2020, Proceedings (Lecture Notes in Computer Science Book 12120)

This book constitutes the refereed proceedings of the 9th International Workshop on Biomedical Image Registration, WBIR 2020, which was supposed to be held in Portorož, Slovenia, in June 2020. The conference was postponed until December 2020 due to the COVID-19 pandemic. The 16 full and poster papers included in this volume were carefully reviewed and selected from 22 submitted papers. The papers are organized in the following topical sections: Registration initialization and acceleration, interventional registration, landmark based registration, multi-channel registration, and sliding motion. Front Matter ....Pages i-x Front Matter ....Pages 1-1 Nonlinear Alignment of Whole Tractograms with the Linear Assignment Problem (Emanuele Olivetti, Pietro Gori, Pietro Astolfi, Giulia Bertó, Paolo Avesani)....Pages 3-11 Learning-Based Affine Registration of Histological Images (Marek Wodzinski, Henning Müller)....Pages 12-22 Enabling Manual Intervention for Otherwise Automated Registration of Large Image Series (Roman Grothausmann, Dženan Zukić, Matt McCormick, Christian Mühlfeld, Lars Knudsen)....Pages 23-33 Towards Segmentation and Spatial Alignment of the Human Embryonic Brain Using Deep Learning for Atlas-Based Registration (Wietske A. P. Bastiaansen, Melek Rousian, Régine P. M. Steegers-Theunissen, Wiro J. Niessen, Anton Koning, Stefan Klein)....Pages 34-43 Learning Deformable Image Registration with Structure Guidance Constraints for Adaptive Radiotherapy (Sven Kuckertz, Nils Papenberg, Jonas Honegger, Tomasz Morgas, Benjamin Haas, Stefan Heldmann)....Pages 44-53 Front Matter ....Pages 55-55 Multilevel 2D-3D Intensity-Based Image Registration (Annkristin Lange, Stefan Heldmann)....Pages 57-66 Towards Automated Spine Mobility Quantification: A Locally Rigid CT to X-ray Registration Framework (David Drobny, Marta Ranzini, Amanda Isaac, Tom Vercauteren, Sébastien Ourselin, David Choi et al.)....Pages 67-77 Front Matter ....Pages 79-79 Reinforced Redetection of Landmark in Pre- and Post-operative Brain Scan Using Anatomical Guidance for Image Alignment (Diana Waldmannstetter, Fernando Navarro, Benedikt Wiestler, Jan S. Kirschke, Anjany Sekuboyina, Ester Molero et al.)....Pages 81-90 Deep Volumetric Feature Encoding for Biomedical Images (Brian Avants, Elliot Greenblatt, Jacob Hesterman, Nicholas Tustison)....Pages 91-100 Front Matter ....Pages 101-101 Multi-channel Image Registration of Cardiac MR Using Supervised Feature Learning with Convolutional Encoder-Decoder Network (Xuesong Lu, Yuchuan Qiao)....Pages 103-110 Multi-channel Registration for Diffusion MRI: Longitudinal Analysis for the Neonatal Brain (Alena Uus, Maximilian Pietsch, Irina Grigorescu, Daan Christiaens, Jacques-Donald Tournier, Lucilio Cordero Grande et al.)....Pages 111-121 An Image Registration-Based Method for EPI Distortion Correction Based on Opposite Phase Encoding (COPE) (Hester Breman, Joost Mulders, Levin Fritz, Judith Peters, John Pyles, Judith Eck et al.)....Pages 122-130 Diffusion Tensor Driven Image Registration: A Deep Learning Approach (Irina Grigorescu, Alena Uus, Daan Christiaens, Lucilio Cordero-Grande, Jana Hutter, A. David Edwards et al.)....Pages 131-140 Multimodal MRI Template Creation in the Ring-Tailed Lemur and Rhesus Macaque (Frederik J. Lange, Stephen M. Smith, Mads F. Bertelsen, Alexandre A. Khrapitchev, Paul R. Manger, Rogier B. Mars et al.)....Pages 141-150 Front Matter ....Pages 151-151 An Unsupervised Learning Approach to Discontinuity-Preserving Image Registration (Eric Ng, Mehran Ebrahimi)....Pages 153-162 An Image Registration Framework for Discontinuous Mappings Along Cracks (Hari Om Aggrawal, Martin S. Andersen, Jan Modersitzki)....Pages 163-173 Back Matter ....Pages 175-176